Health Assessment and Improvement Path of the Beijing-Tianjin-Hebei Ecological-Economic System from the Perspective of Emergy

Yuping Zhou , Ruishuang Qi , Xiaoge Li , Lili Dong , Dechao Jin — Sat, 15 Mar 2025 00:00:00 +0000

As a crucial economic growth pole in China, the health of the Beijing-Tianjin-Hebei (BTH) ecological-economic system is key to regional sustainable development. Based on emergy theory, this study constructs an emergy analysis index system for the BTH ecological-economic system and comprehensively evaluates the health status of the region's ecological-economic system from 2015 to 2022. The study first converts energy inputs, economic activities, and waste emissions within the BTH ecological-economic system into emergy values and calculates the Emergy Loading Ratio (ELR) and the Emergy Sustainability Index (ESI). The results show that the ELR exhibits a decreasing trend, reflecting a gradual reduction in environmental pressure. The ESI value shows an increasing trend, reflecting its advantages in economic structure optimization and environmental protection. Therefore, based on the perspective of emergy optimization, this study proposes that, under the condition of a fixed total regional emergy, continuous promotion of green economic transformation, improvement of the level of sustainable development, driving the overall development of the region, and realization of a virtuous cycle of the regional ecological economy.

Social Network Analysis Based on the Attention Preference of Weibo College Students

Yidin Xiao , Jinyi Yan — Sat, 15 Mar 2025 00:00:00 +0000

Social networks are characterized by speed, spread, equality and self-organization. With the help of social networks, users can obtain behavioral data based on massive data, which can help operators deeply understand the operation mode of social networks. Since the main active users of the Internet are young people, especially college students, it is of great significance to analyze the social network behavior of college students for the development of online social services in the future. This paper focuses on college students (aged 18-22) in the social platform "Weibo", uses web crawlers and information retrieval to obtain the data of college students' attention relationship and type preference, realizes the visual construction of the data with the help of social network analysis software such as Gephi, summarizes and infers the characteristics and trends of college students' attention preferences after comprehensive research and judgment, and provides help for the operation guidance of the social network platform.

Journal of Research in Multidisciplinary Methods and Applications

Health Assessment and Improvement Path of the Beijing-Tianjin-Hebei Ecological-Economic System from the Perspective of Emergy

Social Network Analysis Based on the Attention Preference of Weibo College Students